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RESEARCH PAPER · Journal of Network and Systems Management · 2024

Identifying Distributed Denial of Service Attacks through Multi-Model Deep Learning Fusion and Combinatorial Analysis

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21 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Identifying Distributed Denial of Service Attacks through Multi-Model Deep Learning Fusion and Combinatorial AnalysisOriginalEnabling Real-Time, Explainable DDoS Mitigation via On-Premise Large Language Models and Flow Analysis4Near Realtime Attack Detections with Weka Framework0Defense and Security Mechanisms in the Internet of Things: A Review21Harnessing feature pruning with optimal deep learning-based distributed denial of service cyberattack detection on IoT environment15ProtoMAML: A Hybrid Meta-Learning Approach Integrating Prototypical Networks for Data-Efficient DDoS Attack Detection5Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment5Research on load frequency control system attack detection method based on multi-model fusion11Generalizable Multi-Model Fusion for Multi-Class DoS Detection Using Cognitive Diversity and Rank-Score Analysis1A Multi-Class Intrusion Detection System for DDoS Attacks in IoT Networks Using Deep Learning and Transformers25Effective Denial‐of‐Service Attack (DoS) Detection Using Progressive Cyclical Convolutional Neural Network (CNN) in Wireless Sensor Networks0A Model Fusion Approach for Enhancing Credit Approval Decision Making0Modelling of hybrid deep learning framework with recursive feature elimination for distributed denial of service attack detection systems1LIDS: A Novel Lightweight Intrusion Detection System for DDoS Attacks5A Two-Stage LLM-Enhanced DDoS Detection Framework for Next-Generation IoT and Edge Networks3Intrusion Detection Using TabNet with Recursive Feature Elimination and Deep Supervision0Sentinel: A Neuro-Symbolic Co-Evolutionary Framework for Trustworthy Network and Service Management Against DDoS Attacks0ShallowNet: A Lightweight Neural Network Approach for Efficient Flow-Level DDoS Detection0Reliability-Aware Multi-Objective Optimization for Sustainable Smart Highway Systems9Intelligent and Resource-Efficient Framework for AR-DDoS Attack Detection and Mitigation in Programmable Data Plane Using QCNN0RAN-GUARD: A Hybrid Multi-Model Approach for Early Detection of IP-based DDoS Attacks in O-RAN0XManuChain: A Permissioned Blockchain Framework for Securing IoP Transactions in Production Process Collaboration0

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  1. Enabling Real-Time, Explainable DDoS Mitigation via On-Premise Large Language Models and Flow Analysis

    Procedia Computer Science · 2025-01-01

    Henok Wondimu, Ali Alfatemi, Mohamed Rahouti, Abdellah Chehri, Paweł Weichbroth, Nasir Ghani

    Read original paper ↗ ·
  2. Near Realtime Attack Detections with Weka Framework

    Lecture notes in networks and systems · 2025-01-01

    Selahattin Hürol Türen, Kenneth Eustace, Rafiqul Islam, Geoff Fellows

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  3. Defense and Security Mechanisms in the Internet of Things: A Review

    Applied Sciences · 2025-01-07

    Sabina Szymoniak, Jacek Piątkowski, Mirosław Kurkowski

    Read original paper ↗ ·
  4. Harnessing feature pruning with optimal deep learning-based distributed denial of service cyberattack detection on IoT environment

    Alexandria Engineering Journal · 2025-02-25

    Rania Aboalela, Khalid Hamed S. Allehaibi, Naif Alsaadi, Almuhannad Sulaiman Alorfi, Louai A. Maghrabi, Ehab Bahaudien Ashary, Wajdi Alghamdi, Mahmoud Ragab

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  5. ProtoMAML: A Hybrid Meta-Learning Approach Integrating Prototypical Networks for Data-Efficient DDoS Attack Detection

    International Wireless Communications and Mobile Computing Conference (IWCMC) · 2025-05-12

    Ali Alfatemi, Mohamed Rahouti, Md Zakirul Alam Bhuiyan, Aiman Solyman, Mohammed Aledhari

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  6. Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment

    Scientific Reports · 2025-05-20

    Eunmok Yang, Sooyong Jeong, Changho Seo

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  7. Research on load frequency control system attack detection method based on multi-model fusion

    Energy Informatics · 2025-05-25

    Feng Zheng, Weixun Li, Huifeng Li, Libo Yang, Zengjie Sun

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  8. Generalizable Multi-Model Fusion for Multi-Class DoS Detection Using Cognitive Diversity and Rank-Score Analysis

    ACM Transactions on Privacy and Security · 2025-07-18

    Evans Owusu, Mohamed Rahouti, Dinesh Chandra Verma, Yufeng Xin, D. Frank Hsu, Christina Schweikert

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  9. A Multi-Class Intrusion Detection System for DDoS Attacks in IoT Networks Using Deep Learning and Transformers

    Sensors · 2025-08-06

    Sheikh Abdul Wahab, Sadia Sultana, Noshina Tariq, Maleeha Mujahid, Javed Ali Khan, Alexios Mylonas

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  10. Effective Denial‐of‐Service Attack (DoS) Detection Using Progressive Cyclical Convolutional Neural Network (CNN) in Wireless Sensor Networks

    International Journal of Communication Systems · 2025-08-26

    E. Sivanantham, Neerukonda Kanthi Priyadarsini, Manikumar Thankaraj, T. R. Vijaya Lakshmi

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  11. A Model Fusion Approach for Enhancing Credit Approval Decision Making

    Unknown journal · 2025-10-01

    Yuanhong Wu, Jingyan Xu, Wei Ye, Christina Schweikert, D. Frank Hsu

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  12. Modelling of hybrid deep learning framework with recursive feature elimination for distributed denial of service attack detection systems

    Scientific Reports · 2025-11-10

    Sultan Alkhliwi

    Read original paper ↗ ·
  13. LIDS: A Novel Lightweight Intrusion Detection System for DDoS Attacks

    Security and Privacy · 2025-11-21

    Ashfaq Ahmad Najar, Owais Mujtaba Khanday, Vanlalruata Hnamte, Manohar Naik Sugali, M. Abdul Jawad, Nazia Farooq, Mohd Rafi Lone

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  14. A Two-Stage LLM-Enhanced DDoS Detection Framework for Next-Generation IoT and Edge Networks

    Globecom · 2025-12-08

    Ali Alfatemi, Mohamed Rahouti, Md Zakirul Alam Bhuiyan, Abdellah Chehri, Aiman Solyman

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  15. Intrusion Detection Using TabNet with Recursive Feature Elimination and Deep Supervision

    Lecture notes in networks and systems · 2026-01-01

    Awatef Bshir M. Alzririg, Ayça Kurnaz Türkben

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  16. Sentinel: A Neuro-Symbolic Co-Evolutionary Framework for Trustworthy Network and Service Management Against DDoS Attacks

    IEEE Transactions on Network and Service Management · 2026-01-01

    Ali Alfatemi, Ahmed Alfaqeer, Mohamed Rahouti, Zakirul Alam Bhuiyan, Abdellah Chehri

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  17. ShallowNet: A Lightweight Neural Network Approach for Efficient Flow-Level DDoS Detection

    IEEE Transactions on Network and Service Management · 2026-01-01

    Ali Alfatemi, Mohamed Rahouti, Abdellah Chehri, Zakirul Alam Bhuiyan

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  18. Reliability-Aware Multi-Objective Optimization for Sustainable Smart Highway Systems

    Journal of Network and Systems Management · 2026-03-14

    Armin Mahmoodi, Said M. Easa

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  19. Intelligent and Resource-Efficient Framework for AR-DDoS Attack Detection and Mitigation in Programmable Data Plane Using QCNN

    Journal of Network and Systems Management · 2026-05-08

    Lilima Jain, U. Venkanna, Satyanarayana Vollala

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  20. RAN-GUARD: A Hybrid Multi-Model Approach for Early Detection of IP-based DDoS Attacks in O-RAN

    ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) · 2026-06-02

    Yousef Khalil, Hyame Assem Alameddine, Chadi M. Assi

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  21. XManuChain: A Permissioned Blockchain Framework for Securing IoP Transactions in Production Process Collaboration

    Journal of Network and Systems Management · 2026-07-27

    Mohammad Iqbal Saryuddin Assaqty, Ying Gao, Xiping Hu, Ali Alfatemi, Handy Fernandy, Ircham Ali, Peihao Zhang

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